|Salary:||£33,309 to £40,927|
|Placed On:||1st November 2021|
|Closes:||2nd January 2022|
Positions exist for two Post Doctoral Research Associates in the Department of Applied Mathematics and Theoretical Physics to work on the BloodCounts! project, starting on 1 January 2022 or by negotiation. The BloodCounts! project is supported by funding from The Trinity Challenge, The University of Cambridge, University College Hospitals Biomedical Research Centre, and the NIHR BioResource and aims to collect full blood count (FBC) data globally and utilise it to build machine learning based tsunami-like early warning systems by detecting anomalies in the FBC data.
The post holders will have a key role in a team of postdoctoral scientists, research support staff and students in the Department of Haematology, the MRC Biostatistics Unit and the Department of Applied Mathematics and Theoretical Physics. Internationally, they will have the opportunity to work with a diverse team of bioinformaticians, software developers, academic haematologists, statisticians and experts in machine learning and artificial intelligence from the world leading institutions, in eleven countries, which compose the BloodCounts! team.
Duties will include developing and conducting individual and collaborative research objectives, proposals and projects. The role holders will be expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. You must be able to communicate material of a technical nature and be able to build internal and external contacts. You may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction or plan/deliver seminars relating to the research area.
The successful candidates will have a PhD in mathematics, bioinformatics, computational biology or a closely related subject. They will have experience of analysing real world 'unclean' clinical datasets, designing and implementing machine learning methods and the implementation of autoencoders, with an understanding of their mathematical basis. The role holders have a knowledge of genotyping software such as plink and bcftools. have an advanced competency in Python and with supervised and unsupervised approaches to machine learning for clinical data. Knowledge of using HPC environments to perform large scale computational analysis is desirable.
Fixed-term: The funds for this post are available until 30 September 2024 in the first instance.
To apply online for this vacancy and to view further information about the role, please visit :
Please indicate the contact details of two academic referees on the online application form and upload a full curriculum vitae and a description of your recent research (not to exceed three pages). Please ensure that at least one of your referees is contactable at any time during the selection process, and is made aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System; and please encourage them to do so promptly.
Please quote reference LE28632 on your application and in any correspondence about this vacancy.
Closing Date: 2 January 2022
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our Department.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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